Intrusion detection is one of the most prominent and challenging problem faced by
cybersecurity organizations. Intrusion Detection System (IDS) plays a vital role in identifying …

The random forest algorithm is one of important supervised machine learning (ML)
algorithms. In the present paper, the accuracy of the results of the random forest (RF) …

NetworkIntrusionDetectionSystem (NIDS), widely used network infrastructure. Although
many datamining has been used to increase the effectiveness of IDSs, current ID still …

Intrusion detection systems (IDSs) for computer networks play a crucial role in an
organization's performance. IDSs have been created and put into use over the years …

Hackers can conduct more destructive cyber-attacks thanks to the rapid spread of Internet of
Things (IoT) devices, posing significant security risks for users. Through a malicious process …

Intrusion detection systems (IDSs) monitor network traffics to find suspicious activities, such
as an attack or illegal activities. These systems play an important role in securing computer …

Alzheimer's disease (AD) is the most common incurable neurodegenerative illness, a term
that encompasses memory loss as well as other cognitive abilities. The purpose of the study …

The task of network security is to keep services available at all times by dealing with hacker
attacks. One of the mechanisms obtainable is the Intrusion Detection System (IDS) which is …

Deep Learning presents a critical capability to be geared into environments being constantly
changed and ongoing learning dynamic, which is especially relevant in Network Intrusion …

Due to sophisticated cyber-attacks, and to produce false alarms on suspicious or unusual
behavior to monitor computer resources, Intrusion Detection Systems (IDSs) are required …